Yanping Rui, Huiyi Jin, Yanjuan Zhang
School of Humanities and Social Sciences, North University of China, Taiyuan, China.
School of Humanities and Social Sciences, North University of China, Taiyuan, China.
Acta Psychol (Amst). 2025 Aug;258:105225. doi: 10.1016/j.actpsy.2025.105225. Epub 2025 Jun 26.
Online learning has become a prevalent and efficient learning approach with the rapid advancement of education digitization. Higher-order thinking skills (HOTS), academic emotion regulation strategies (AERS), and academic engagement (AE) are all important factors for the success of university students, but their connections have not been thoroughly investigated in Chinese online English teaching. This study aimed to address this gap by exploring the interaction of HOTS, AERS and AE in online university English learning among 313 non-English majors within the English as a foreign language (EFL) context of China. Through iterative validation and modification using Bootstrap, the study established a structural equation model (SEM) which provided a good fit. The research findings revealed that HOTS positively predict both AE and AERS, while AERS also positively predict AE. Additionally, AERS partially mediated the relationship between HOTS and AE. This study enhances the understanding of HOTS and AERS for foreign language education researchers and educators, offering insights for improving online English teaching quality.
随着教育数字化的快速发展,在线学习已成为一种普遍且高效的学习方式。高阶思维技能(HOTS)、学术情绪调节策略(AERS)和学术参与度(AE)都是大学生取得成功的重要因素,但在中国在线英语教学中,它们之间的联系尚未得到充分研究。本研究旨在通过探讨中国非英语专业外语(EFL)背景下313名大学生在线大学英语学习中HOTS、AERS和AE的相互作用来填补这一空白。通过使用Bootstrap进行迭代验证和修改,该研究建立了一个拟合良好的结构方程模型(SEM)。研究结果表明,HOTS对AE和AERS均有正向预测作用,而AERS对AE也有正向预测作用。此外,AERS部分中介了HOTS与AE之间的关系。本研究增进了外语教育研究者和教育工作者对HOTS和AERS的理解,为提高在线英语教学质量提供了见解。